pervertexdata.smoothnn.compute.fwhm: Compute expected FWHM from given number of neighborhood...

In fsbrain: Managing and Visualizing Brain Surface Data

Compute expected FWHM from given number of neighborhood smoothing iterations.

Description

Compute expected FWHM from given number of neighborhood smoothing iterations.

Usage

pervertexdata.smoothnn.compute.fwhm(surface, niters, is_template)

Arguments

surface	an fs.surface instance
niters	positive integer, the nn iteration count
is_template	logical, whether the surface belongs to a template subject

Value

double, the expected FWHM

Note

This function has been adapted from FreeSurfer and it is subject to the FreeSurfer software license.

Examples

## Not run: 
spherical_surface = subject.surface(fsaverage.path(), "fsaverage3", surface="sphere", hemi="lh");
fsbrain:::pervertexdata.smoothnn.compute.fwhm(spherical_surface, 5L);

## End(Not run)

fsbrain documentation built on July 9, 2023, 7:12 p.m.